A Comparison Between AHP and Hybrid AHP for Mobile Based Culinary Recommendation System

Authors

  • Ratih Kartika Dewi Brawijaya University
  • Buce Trias Hanggara Brawijaya University
  • Aryo Pinandito Brawijaya University

DOI:

https://doi.org/10.3991/ijim.v12i1.7561

Keywords:

culinary recommendation, mobile application, AHP, AHP TOPSIS, Fuzzy AHP

Abstract


Mobile based culinary recommendation system has become critical topic in mobile application. Some methods presented in the literature propose the use of the AHP (Analytic Hierarchy Process), AHP TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) and fuzzy AHP for mobile based culinary recommendation system. However, there are no comparative studies of these three methods when applied to mobile based culinary recommendation system. Thus, this research presents a comparative analysis of these three methods in the context of culinary recommendation system in mobile environment. The comparison was made based on accuracy and time complexity because mobile application environment needs low time complexity. The results have shown that all of these methods are suitable for culinary recommendation system in mobile environment. Fuzzy AHP have the highest accuracy between all of these methods, it have 66,67 % accuracy. But, AHP TOPSIS shows the best performance in time complexity, with order of growth in quadratic class (n2)

Author Biography

Ratih Kartika Dewi, Brawijaya University

Lecturer in Brawijaya University, with expertise in artificial intelligence and mobile application

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Published

2018-01-23

How to Cite

Dewi, R. K., Hanggara, B. T., & Pinandito, A. (2018). A Comparison Between AHP and Hybrid AHP for Mobile Based Culinary Recommendation System. International Journal of Interactive Mobile Technologies (iJIM), 12(1), pp. 133–140. https://doi.org/10.3991/ijim.v12i1.7561

Issue

Vol. 12 No. 1 (2018)

Section

Short Papers

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